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 *modification, are permitted provided that the following conditions are met:
 *     * Redistributions of source code must retain the above copyright notice,
 *this list of conditions and the following disclaimer.
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 *notice, this list of conditions and the following disclaimer in the
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 *AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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 *INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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/*! \file

    \brief Unit tests for thread-level GEMM
*/

#include "../../common/cutlass_unit_test.h"

#include "cutlass/aligned_buffer.h"
#include "cutlass/half.h"

#include "cutlass/gemm/warp/default_mma_sparse_tensor_op.h"

#include "cutlass/core_io.h"
#include "cutlass/util/host_tensor.h"
#include "cutlass/util/tensor_view_io.h"

#include "cutlass/util/reference/host/tensor_fill.h"
#include "cutlass/util/reference/host/tensor_compare.h"
#include "cutlass/util/reference/host/gemm.h"

#include "testbed.h"

#if defined(CUTLASS_ARCH_SPARSE_MMA_SM80_SUPPORTED)

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_f16,
     128x128x64_64x64x64_16x8x32) {
    using Shape = cutlass::gemm::GemmShape<64, 64, 64>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;
    using Element = cutlass::half_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 32>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 64>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 64> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_f16,
     128x128x64_64x32x64_16x8x32) {
    using Shape = cutlass::gemm::GemmShape<64, 32, 64>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;
    using Element = cutlass::half_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 32>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 64>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 64> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_f16,
     128x128x64_32x64x64_16x8x32) {
    using Shape = cutlass::gemm::GemmShape<32, 64, 64>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;
    using Element = cutlass::half_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 32>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 64>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 64> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_f16,
     128x128x64_32x32x64_16x8x32) {
    using Shape = cutlass::gemm::GemmShape<32, 32, 64>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;
    using Element = cutlass::half_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 32>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 64>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 64> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_f16,
     128x128x64_32x16x64_16x8x32) {
    using Shape = cutlass::gemm::GemmShape<32, 16, 64>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;
    using Element = cutlass::half_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 32>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 64>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 64> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_f16,
     128x64x128_64x32x128_16x8x32) {
    using Shape = cutlass::gemm::GemmShape<64, 32, 128>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;
    using Element = cutlass::half_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 64>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 64>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 64, 128> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_f16,
     64x128x128_32x64x128_16x8x32) {
    using Shape = cutlass::gemm::GemmShape<32, 64, 128>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;
    using Element = cutlass::half_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 64>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 64>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<64, 128, 128> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_f16,
     64x64x128_32x32x128_16x8x32) {
    using Shape = cutlass::gemm::GemmShape<32, 32, 128>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;
    using Element = cutlass::half_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 64>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 64>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<64, 64, 128> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_f16,
     64x32x128_32x16x128_16x8x32) {
    using Shape = cutlass::gemm::GemmShape<32, 16, 128>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;
    using Element = cutlass::half_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 64>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 64>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<64, 32, 128> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_congruous_f16,
     128x128x64_64x64x64_16x8x32) {
    using Shape = cutlass::gemm::GemmShape<64, 64, 64>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;
    using Element = cutlass::half_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 64>;
    using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 64>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 64> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_congruous_f16,
     128x128x64_64x32x64_16x8x32) {
    using Shape = cutlass::gemm::GemmShape<64, 32, 64>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;
    using Element = cutlass::half_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 64>;
    using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 64>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 64> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_congruous_f16,
     128x128x64_32x64x64_16x8x32) {
    using Shape = cutlass::gemm::GemmShape<32, 64, 64>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;
    using Element = cutlass::half_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 64>;
    using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 64>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 64> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_congruous_f16,
     128x128x64_32x32x64_16x8x32) {
    using Shape = cutlass::gemm::GemmShape<32, 32, 64>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;
    using Element = cutlass::half_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 64>;
    using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 64>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 64> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_congruous_f16,
     128x64x128_64x32x128_16x8x32) {
    using Shape = cutlass::gemm::GemmShape<64, 32, 128>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;
    using Element = cutlass::half_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 64>;
    using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 64>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 64, 128> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_congruous_f16,
     64x128x128_32x64x128_16x8x32) {
    using Shape = cutlass::gemm::GemmShape<32, 64, 128>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;
    using Element = cutlass::half_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 64>;
    using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 64>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<64, 128, 128> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_congruous_f16,
     64x64x128_32x32x128_16x8x32) {
    using Shape = cutlass::gemm::GemmShape<32, 32, 128>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 32>;
    using Element = cutlass::half_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 64>;
    using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 64>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<64, 64, 128> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_s8,
     128x128x128_64x64x128_16x8x64) {
    using Shape = cutlass::gemm::GemmShape<64, 64, 128>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>;
    using Element = int8_t;
    using ElementC = int32_t;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 64>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 128>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 128> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_s8,
     128x128x128_64x32x128_16x8x64) {
    using Shape = cutlass::gemm::GemmShape<64, 32, 128>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>;
    using Element = int8_t;
    using ElementC = int32_t;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 64>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 128>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 128> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_s8,
     128x128x128_32x64x128_16x8x64) {
    using Shape = cutlass::gemm::GemmShape<32, 64, 128>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>;
    using Element = int8_t;
    using ElementC = int32_t;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 64>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 128>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 128> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_s8,
     128x128x128_32x32x128_16x8x64) {
    using Shape = cutlass::gemm::GemmShape<32, 32, 128>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>;
    using Element = int8_t;
    using ElementC = int32_t;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 64>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 128>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 128> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_s8,
     128x128x128_32x16x128_16x8x64) {
    using Shape = cutlass::gemm::GemmShape<32, 16, 128>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>;
    using Element = int8_t;
    using ElementC = int32_t;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 64>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 128>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 128> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_s8,
     128x64x256_64x32x256_16x8x64) {
    using Shape = cutlass::gemm::GemmShape<64, 32, 256>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>;
    using Element = int8_t;
    using ElementC = int32_t;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 128>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 128>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 64, 256> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_s8,
     64x128x256_32x64x256_16x8x64) {
    using Shape = cutlass::gemm::GemmShape<32, 64, 256>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>;
    using Element = int8_t;
    using ElementC = int32_t;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 128>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 128>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<64, 128, 256> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_s8,
     64x64x256_32x32x256_16x8x64) {
    using Shape = cutlass::gemm::GemmShape<32, 32, 256>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>;
    using Element = int8_t;
    using ElementC = int32_t;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 128>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 128>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<64, 64, 256> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_s8,
     64x32x256_32x16x256_16x8x64) {
    using Shape = cutlass::gemm::GemmShape<32, 16, 256>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 64>;
    using Element = int8_t;
    using ElementC = int32_t;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 128>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 128>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<64, 32, 256> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_tf32,
     128x128x32_64x64x32_16x8x16) {
    using Shape = cutlass::gemm::GemmShape<64, 64, 32>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
    using Element = cutlass::tfloat32_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 16>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 32>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 32> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_tf32,
     128x128x32_64x32x32_16x8x16) {
    using Shape = cutlass::gemm::GemmShape<64, 32, 32>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
    using Element = cutlass::tfloat32_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 16>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 32>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 32> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_tf32,
     128x128x32_32x64x32_16x8x16) {
    using Shape = cutlass::gemm::GemmShape<32, 64, 32>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
    using Element = cutlass::tfloat32_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 16>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 32>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 32> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_tf32,
     128x128x32_32x32x32_16x8x16) {
    using Shape = cutlass::gemm::GemmShape<32, 32, 32>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
    using Element = cutlass::tfloat32_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 16>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 32>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 32> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_tf32,
     128x128x32_32x16x32_16x8x16) {
    using Shape = cutlass::gemm::GemmShape<32, 16, 32>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
    using Element = cutlass::tfloat32_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 16>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 32>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 32> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_tf32,
     128x64x256_64x32x256_16x8x16) {
    using Shape = cutlass::gemm::GemmShape<64, 32, 64>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
    using Element = cutlass::tfloat32_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 32>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 32>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 64, 64> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_tf32,
     64x128x64_32x64x64_16x8x16) {
    using Shape = cutlass::gemm::GemmShape<32, 64, 64>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
    using Element = cutlass::tfloat32_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 32>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 32>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<64, 128, 64> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_tf32,
     64x64x64_32x32x64_16x8x16) {
    using Shape = cutlass::gemm::GemmShape<32, 32, 64>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
    using Element = cutlass::tfloat32_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 32>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 32>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<64, 64, 64> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_tf32,
     64x32x64_32x16x64_16x8x16) {
    using Shape = cutlass::gemm::GemmShape<32, 16, 64>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
    using Element = cutlass::tfloat32_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 32>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 32>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<64, 32, 64> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_congruous_tf32,
     128x128x32_64x64x32_16x8x16) {
    using Shape = cutlass::gemm::GemmShape<64, 64, 32>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
    using Element = cutlass::tfloat32_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 32>;
    using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 32>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 32> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_congruous_tf32,
     128x128x32_64x32x32_16x8x16) {
    using Shape = cutlass::gemm::GemmShape<64, 32, 32>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
    using Element = cutlass::tfloat32_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 32>;
    using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 32>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 32> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_congruous_tf32,
     128x128x32_32x64x32_16x8x16) {
    using Shape = cutlass::gemm::GemmShape<32, 64, 32>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
    using Element = cutlass::tfloat32_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 32>;
    using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 32>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 32> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_congruous_tf32,
     128x128x32_32x32x32_16x8x16) {
    using Shape = cutlass::gemm::GemmShape<32, 32, 32>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
    using Element = cutlass::tfloat32_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 32>;
    using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 32>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 32> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_congruous_tf32,
     128x64x64_64x32x64_16x8x16) {
    using Shape = cutlass::gemm::GemmShape<64, 32, 64>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
    using Element = cutlass::tfloat32_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 32>;
    using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 32>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 64, 64> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_congruous_tf32,
     64x128x64_32x64x64_16x8x16) {
    using Shape = cutlass::gemm::GemmShape<32, 64, 64>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
    using Element = cutlass::tfloat32_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 32>;
    using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 32>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<64, 128, 64> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_congruous_tf32,
     64x64x64_32x32x64_16x8x16) {
    using Shape = cutlass::gemm::GemmShape<32, 32, 64>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 16>;
    using Element = cutlass::tfloat32_t;
    using ElementC = float;
    using LayoutA = cutlass::layout::ColumnMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 32>;
    using LayoutB = cutlass::layout::RowMajorTensorOpMultiplicandCongruous<
            cutlass::sizeof_bits<Element>::value, 32>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<64, 64, 64> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_s4,
     128x128x256_64x64x256_16x8x128) {
    using Shape = cutlass::gemm::GemmShape<64, 64, 256>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 128>;
    using Element = cutlass::int4b_t;
    using ElementC = int32_t;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 128>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 256>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 256> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_s4,
     128x128x256_64x32x256_16x8x128) {
    using Shape = cutlass::gemm::GemmShape<64, 32, 256>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 128>;
    using Element = cutlass::int4b_t;
    using ElementC = int32_t;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 128>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 256>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 256> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_s4,
     128x128x256_32x64x256_16x8x128) {
    using Shape = cutlass::gemm::GemmShape<32, 64, 256>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 128>;
    using Element = cutlass::int4b_t;
    using ElementC = int32_t;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 128>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 256>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 256> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_s4,
     128x128x256_32x32x256_16x8x128) {
    using Shape = cutlass::gemm::GemmShape<32, 32, 256>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 128>;
    using Element = cutlass::int4b_t;
    using ElementC = int32_t;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 128>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 256>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 256> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_s4,
     128x128x256_32x16x256_16x8x128) {
    using Shape = cutlass::gemm::GemmShape<32, 16, 256>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 128>;
    using Element = cutlass::int4b_t;
    using ElementC = int32_t;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 128>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 256>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 128, 256> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_s4,
     128x64x512_64x32x512_16x8x128) {
    using Shape = cutlass::gemm::GemmShape<64, 32, 512>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 128>;
    using Element = cutlass::int4b_t;
    using ElementC = int32_t;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 256>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 256>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<128, 64, 512> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_s4,
     64x128x512_32x64x512_16x8x128) {
    using Shape = cutlass::gemm::GemmShape<32, 64, 512>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 128>;
    using Element = cutlass::int4b_t;
    using ElementC = int32_t;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 256>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 256>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<64, 128, 512> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_s4,
     64x64x512_32x32x512_16x8x128) {
    using Shape = cutlass::gemm::GemmShape<32, 32, 512>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 128>;
    using Element = cutlass::int4b_t;
    using ElementC = int32_t;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 256>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 256>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<64, 64, 512> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

TEST(SM80_warp_gemm_sparse_tensor_op_crosswise_s4,
     64x32x512_32x16x512_16x8x128) {
    using Shape = cutlass::gemm::GemmShape<32, 16, 512>;
    using InstructionShape = cutlass::gemm::GemmShape<16, 8, 128>;
    using Element = cutlass::int4b_t;
    using ElementC = int32_t;
    using LayoutA = cutlass::layout::RowMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 256>;
    using LayoutB = cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise<
            cutlass::sizeof_bits<Element>::value, 256>;

    using MmaTensorOp = typename cutlass::gemm::warp::DefaultSparseMmaTensorOp<
            Shape, InstructionShape, Element, LayoutA, Element, LayoutB,
            ElementC, cutlass::layout::RowMajor>::Type;

    test::gemm::warp::SparseTestbed<MmaTensorOp,
                                    cutlass::gemm::GemmShape<64, 32, 512> >()
            .run();
}

////////////////////////////////////////////////////////////////////////////////

#endif  // #if defined(CUTLASS_ARCH_SPARSE_MMA_SM80_SUPPORTED)
